Whisper Large v3 Turbo is a fast, cost-efficient speech-to-text model optimized for real-time transcription and voice agent pipelines. Reach for it when you need accurate audio-to-text conversion with low latency and automatic language detection.
Modalities
Text → Text
Price
$0.0009 / min
Speed
fast
Performance
Live production data from real requests on Kyma — not synthetic benchmarks.
Rank
#29
of 87 active models
Tokens served
677.3K
all-time
Success rate
100%
last 7 days
Top apps using this model
Public apps sending the most traffic to this model — a signal of what real workloads it fits.
Pricing
Per minute of audio processed. Min billable: 1 minute.
$0.0009 / minWhen to use Whisper Large v3 Turbo
Where this model earns its cost — and where it doesn't.
This model converts audio input into text transcripts, operating at 228x real-time speed. It automatically detects the spoken language and returns transcripts with precise timestamps. The architecture is tuned for strong accuracy while maintaining a cheap cost tier.
On Kyma, it runs through an OpenAI-compatible endpoint with automatic request failover. If a serving path degrades, traffic reroutes transparently. The model supports prompt caching, which bills repeated prefixes at 10% of the standard input rate. Usage metadata, including exact request cost and the resolved model ID, is returned in the response headers and JSON payload.
The model accepts audio input and outputs plain text. It does not support vision, structured outputs, or reasoning tasks. The context window caps at 3,600 tokens, making it suitable for standard-length audio clips rather than multi-hour continuous streams without chunking.
Live Meeting Transcription
Converts conference audio into timestamped text for searchable meeting notes.
Voice Agent Pipelines
Feeds real-time speech recognition into conversational AI workflows with minimal latency.
Automated Caption Generation
Produces synchronized subtitles for video content with automatic language detection.
Audio Content Indexing
Transforms podcast and interview recordings into searchable text archives.
Not ideal for: Do not use this model for multi-hour continuous audio streams without manual chunking, as the 3,600-token context window will truncate longer inputs.
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "whisper-v3-turbo", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "whisper-v3-turbo", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
How much does Whisper Large v3 Turbo cost?
How do I use Whisper Large v3 Turbo?
How does Kyma handle model routing for this endpoint?
How is billing calculated for repeated audio prompts?
Does this model support structured outputs or reasoning?
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